Penlink

Description About us: Penlink is a global leader in digital intelligence solutions. Our advanced technologies simplify complex data, empowering public safety organizations to make informed decisions quickly and effectively. We believe in the power of data-driven intelligence to accelerate clarity in decision-making for global security, strategic operations, and the most critical missions. Headquartered in the US with offices worldwide. About the Role: We are seeking a talented and driven Data Analyst to join our data product team. This role combines analytical expertise, strong technical skills, and a deep understanding of large-scale datasets to support product development and business growth. As a Data Analyst, you will work closely with Product, Development, and Business teams to transform complex data into actionable insights and enable data-driven decision making. Responsibilities • Lead and execute data analyses, data quality assessments, validation processes, and analytical investigations to provide actionable insights. • Analyze large-scale datasets to evaluate new data sources, identify trends, and uncover business opportunities. • Research, design, and validate data models and methodologies to support product and development teams, as well as customer needs. • Develop, maintain, and improve dashboards, reports, and monitoring tools for tracking key business and product metrics. • Present findings and recommendations to both technical and non-technical stakeholders. Requirements • At least 2 years of experience as a Data Analyst, Product Analyst, or similar role. • Strong SQL proficiency. • Experience with Python for data analysis and automation. • Experience working with large-scale datasets and analytical investigations. • Fluent in English. Advantages • Experience with Geospatial, Location Intelligence, or Cyber data. • Experience with AWS services, particularly Athena. • Experience working with Datadog, Apache Spark, or Power BI. • Experience using AI tools for data analysis, research, and productivity enhancement.

Description About us: Penlink is a global leader in digital intelligence solutions. Our advanced technologies simplify complex data, empowering public safety organizations to make informed decisions quickly and effectively. We believe in the power of data-driven intelligence to accelerate clarity in decision-making for global security, strategic operations, and the most critical missions. Headquartered in the US with offices worldwide. Job Description: We are looking for a motivated and customer-oriented Customer Success Specialist to join our team. In this role, you will work closely with customers to ensure successful onboarding, product adoption, and ongoing satisfaction. You will combine strong communication skills, technical understanding, and OSINT expertise to help customers maximize the value of our solutions. Responsibilities: • Collaborate closely with customers to understand their operational and technical needs, and communicate relevant insights to the sales team • Lead customer onboarding by providing proactive support, best practice guidance, and relevant use cases • Train and educate customers on the product, ensuring effective adoption and ongoing success • Develop deep product expertise and recommend enhancements based on user feedback and real-world use • Deliver training sessions and product demonstrations to clients and stakeholders • Represent the company at professional events, including on-site demos and industry exhibitions • Conduct open-source investigations to generate compelling use cases and demonstrate product capabilities • Create comprehensive OSINT reports, both independently and in response to requests from sales teams, customers, and other stakeholders Requirements • At least 3 years of experience as an OSINT Analyst or Intelligence Analyst • Strong written and verbal communication skills in both English and Hebrew • Strong public speaking and presentation skills, including the ability to deliver effective training sessions • Excellent interpersonal skills with the ability to build and maintain relationships • Strong analytical and problem-solving skills, with attention to detail • Ability to gather, interpret, and present data clearly and effectively • Excellent organizational and time management skills; able to handle multiple inquiries in parallel • Ability to work collaboratively in a team environment • Bachelor's degree

Description About us Penlink is a global leader in digital intelligence solutions. Our advanced technologies simplify complex data, empowering public safety organizations to make informed decisions quickly and effectively. We believe in the power of data-driven intelligence to accelerate clarity in decision-making for global security, strategic operations, and the most critical missions. Headquartered in the US with offices worldwide. About the role We're building complex, production-grade AI features into our platform, and we're looking for a strong full-stack agentic engineer to design, ship, and own them end-to-end — from the agent and backend logic all the way to the UI client. This is a close-the-loop role: you should be just as comfortable building the service that orchestrates an LLM call as you are building the UI components that present its results to the user. It's first and foremost a software engineering role — we want real engineering talent that has made the shift to modern, agentic development: directing agentic coding tools, reviewing their output, and holding the result to production standards. What You’ll Do • Own complex features end-to-end: investigate the problem, write the technical design, break the work into components and dependencies, then build, test, and roll it out. • Work closely with Product to refine requirements — question assumptions and surface edge cases, failure modes, and trade-offs before they reach production. • Work across the stack: design backend services, APIs, agents, and agentic flows, build the client experience, and connect them into something that works reliably. • Contribute to a complex, production-grade agentic system — not a simple chatbot. Agents here use tools, share context, and execute multi-step workflows, and your work plugs into that architecture. • Integrate AI capabilities — LLM calls, structured outputs, tool/function calling, retrieval — sensibly, measure their quality, latency, and cost like any other part of the system, and know when a deterministic solution is the better choice. • Integrate with external APIs and data providers, designing for rate limits, timeouts, partial failures, and usage cost. • Own the production health of your features, including observability, root-cause analysis, and delivering fixes safely across supported release versions. Requirements • 4+ years of professional software engineering experience, with strong programming fundamentals and a solid grasp of backend system design — APIs, data modeling, concurrency, and performance. • Proven full-stack experience: backend services and APIs, and modern frontend development (e.g. Angular, React, Vue, or similar). • A track record of owning complex features through to production — breaking down ambiguous problems, identifying risks and dependencies, and following through after release. • Practical, daily use of agentic coding tools such as Claude Code, Cursor, Copilot Agent Mode, Codex, or similar. • Clear communication with both technical and non-technical stakeholders, including clear written technical designs. Nice to Have • Experience developing in a microservices environment on cloud architecture — AWS, Docker, and Kubernetes. • Experience with multi-agent workflows, tool-using agents, or RAG pipelines. • Familiarity with orchestration frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or MCP-based tools). • Hands-on experience building AI-powered features — LLM integration and structured outputs, evals (prompt regression, LLM-as-judge), and AI UX (streaming, chat, human-in-the-loop). • Distributed systems experience: message queues, caching (e.g. Redis), and durable workflow engines (e.g. Temporal). • Experience with relational databases (e.g. PostgreSQL), including schema design and query performance. • Angular experience. • Backend development experience with C# / .NET. • CI/CD, feature flags, automated testing, and production observability (e.g. Datadog, OpenTelemetry).